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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281

Showing 1-25 of 281 citing articles:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
(2020)
Open Access | Times Cited: 664
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, José Camacho-Collados, Luis Espinosa-Anke, et al.
(2020)
Open Access | Times Cited: 461
A new direction in social network analysis: Online social network analysis problems and applications
Ümit Can, Bilal Alataş
Physica A Statistical Mechanics and its Applications (2019) Vol. 535, pp. 122372-122372
Closed Access | Times Cited: 168
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 148
SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Ibrahim Abu Farha, Silviu Oprea, Steven Lloyd Wilson, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)
Open Access | Times Cited: 73
Irony detection via sentiment-based transfer learning
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, et al.
Information Processing & Management (2019) Vol. 56, Iss. 5, pp. 1633-1644
Open Access | Times Cited: 117
Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.
(2018)
Open Access | Times Cited: 113
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
Alexandra Chronopoulou, Christos Baziotis, Alexandros Potamianos
(2019)
Open Access | Times Cited: 111
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.
(2021)
Open Access | Times Cited: 86
Affective and Contextual Embedding for Sarcasm Detection
Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 82
Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection
Zheng Lin Chia, Michał Ptaszyński, Fumito Masui, et al.
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102600-102600
Open Access | Times Cited: 79
iSarcasm: A Dataset of Intended Sarcasm
Silviu Oprea, Walid Magdy
(2020), pp. 1279-1289
Open Access | Times Cited: 72
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, et al.
(2022)
Open Access | Times Cited: 60
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 22
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
Chuhan Wu, Fangzhao Wu, Sixing Wu, et al.
(2018)
Open Access | Times Cited: 82
A transformer-based approach to irony and sarcasm detection
Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
Neural Computing and Applications (2020) Vol. 32, Iss. 23, pp. 17309-17320
Open Access | Times Cited: 67
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Kris Korrel, Dieuwke Hupkes, Verna Dankers, et al.
(2019)
Open Access | Times Cited: 67
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
Nabil Hossain, John Krumm, Michael Gamon, et al.
(2020), pp. 746-758
Open Access | Times Cited: 65
Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)
Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, et al.
Accademia University Press eBooks (2018), pp. 26-34
Open Access | Times Cited: 63
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
José Ángel González, Lluís-F. Hurtado, Ferran Plà
Information Processing & Management (2020) Vol. 57, Iss. 4, pp. 102262-102262
Closed Access | Times Cited: 61
Incorporating Emoji Descriptions Improves Tweet Classification
Abhishek Singh, Eduardo Blanco, Wei Jin
(2019)
Open Access | Times Cited: 60
IDAT at FIRE2019
Bilal Ghanem, Jihen Karoui, Farah Benamara, et al.
(2019), pp. 10-13
Closed Access | Times Cited: 57
Automatically Identifying Complaints in Social Media
Daniel Preoţiuc-Pietro, Mihaela Găman, Νικόλαος Αλέτρας
(2019), pp. 5008-5019
Open Access | Times Cited: 56
An Approach for Radicalization Detection Based on Emotion Signals and Semantic Similarity
Óscar Araque, Carlos Á. Iglesias
IEEE Access (2020) Vol. 8, pp. 17877-17891
Open Access | Times Cited: 55
A Report on the 2020 Sarcasm Detection Shared Task
Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan
(2020), pp. 1-11
Open Access | Times Cited: 55
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